Fetching the paper…
Reading the bibliography…
Generative adversarial networks (GANs) learn a deep generative model that is able to synthesise novel, high-dimensional data samples.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Fine-grained visual comparisons with local learning
A. Yu and K. Grauman · 2014
Earlier work this paper cites.
Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
Earlier work this paper cites.
Human-level concept learning through probabilistic program induction
B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum · 2015
Earlier work this paper cites.
Understanding deep image representations by inverting them
A. Mahendran and A. Vedaldi · 2015
Earlier work this paper cites.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
Earlier work this paper cites.
Task specific adversarial cost function
A. Creswell and A. A. Bharath · 2016
Cited alongside, same era.
J. Donahue, P. Krähenbühl, and T. Darrell · 2016
Cited alongside, same era.
Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, A. Lamb, M. Arjovsky, O. Mastropietro, and A. Courville · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
Cited alongside, same era.
Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Cited alongside, same era.
Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
Later among the works it cites.
Towards principled methods for training generative adversarial networks
M. Arjovsky and L. Bottou · 2017
Later among the works it cites.
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Later among the works it cites.
Alice: Towards understanding adversarial learning for joint distribution matching
C. Li, H. Liu, C. Chen, Y. Pu, L. Chen, R. Henao, and L. Carin · 2017
Later among the works it cites.
Learning inverse mapping by autoencoder based generative adversarial nets
J. Luo, Y. Xu, C. Tang, and J. Lv · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…